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Non Intrusive Learning Patterns (NILP) NILP is an intelligent
self-learning technology in spam control. It carries with itself a continuously
updating database containing DNA imprints of millions of SPAM mails detected world-wide.
Once the DNA imprints are checked, NILP reverses its learning by classifying GOOD
(Ham) mails, rather than using the traditional way of classifying BAD (Spam) mails. How
NILP works at an organizational level
Have a look at the following characteristics
of any organization's mail traffic: - Mail/proxy Gateway
- Mail
Databases
- Mail Users
- Contents
- Policies
-
Network Structure
The above entities will continue to remain as the
fundamental elements of a company's communication for a long time. Users may be
added or deleted, public IPs may be added or deleted, but overall these basic
elements remain the same. To give an example, an engineering organization will
MOST certainly not subscribe or ask for information about medical drugs. A software
organization will rather have no interest in receiving mails from religious institutions.
Using the logic above, NILP tunes itself to understand the exact nature of
the mail traffic of an organization, and then classifies all mails accordingly.
It is extremely fast, scaleable and can regularly unlearn things to keep itself
very efficient and adaptable in a real-time environment.NILP at the mailbox
level
At the user level, NILP employs advanced concepts of Artificial Intelligence
to observe the behavioral patterns of the user, and starts thinking from the user
point of view. This way, it very accurately understands what's good mail for the
user. The mechanism learns on its own, while it incorporates continuous feeds
from MicroWorld Server as well. This makes NILP the most effective technology
in Spam and Phishing filtering.
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